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Landscape Connectivity as a Tool in Green Space Evaluation and Optimization of the Haidan District, Beijing

Author

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  • Shiyi Guo

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
    Graduate School of Frontier Science, The University of Tokyo, Kashiwa 277-8563, Japan)

  • Kaoru Saito

    (Graduate School of Frontier Science, The University of Tokyo, Kashiwa 277-8563, Japan)

  • Weida Yin

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Chang Su

    (Graduate School of Horticulture, Chiba University, Matsudo 271-8510, Japan)

Abstract

The demand for urban construction has placed growing pressure on biodiversity conservation. In China, landscape fragmentation caused by rapid urbanization has resulted in an immense amount of damage to the ecological system. Taking the Haidian District of Beijing as the study area, this study distinguishes the vital patches and corridors for landscape connectivity maintenance through morphological spatial pattern analysis (MSPA), the probability of connectivity (PC), and the least-cost path analysis. Although we adopted and combined these methods from the existing research about landscape modeling, we went deeper into two parameters: the resistance value and the distance threshold. In order to get a species-specific result, we selected two focal species: the ring-necked pheasant ( Phasianus colchius ) and the raccoon dog ( Nyctereutes procyonoides ), whose biological characteristics and habitat types are assumed to represent most of the habitats in Beijing. The result shows the different habitats and corridors for two species. Then, the results of two simulated scenarios are overlaid to obtain the final landscape pattern. Based on this case study, we propose a paradigm of ecological network identification of multiple species, which may contribute to landscape modeling and green space planning.

Suggested Citation

  • Shiyi Guo & Kaoru Saito & Weida Yin & Chang Su, 2018. "Landscape Connectivity as a Tool in Green Space Evaluation and Optimization of the Haidan District, Beijing," Sustainability, MDPI, vol. 10(6), pages 1-14, June.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1979-:d:152164
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    References listed on IDEAS

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    1. Shanthala Devi, B.S. & Murthy, M.S.R. & Debnath, Bijan & Jha, C.S., 2013. "Forest patch connectivity diagnostics and prioritization using graph theory," Ecological Modelling, Elsevier, vol. 251(C), pages 279-287.
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    Cited by:

    1. Huiying Li & Dianfeng Liu & Jianhua He, 2022. "Exploring Differentiated Conservation Priorities of Urban Green Space Based on Tradeoffs of Ecological Functions," Sustainability, MDPI, vol. 14(3), pages 1-14, February.
    2. Xiangnan Fan & Yuning Cheng & Fangqi Tan & Tianyi Zhao, 2022. "Construction and Optimization of the Ecological Security Pattern in Liyang, China," Land, MDPI, vol. 11(10), pages 1-28, September.
    3. Zhiming Li & Zhengxi Fan & Shiguang Shen, 2018. "Urban Green Space Suitability Evaluation Based on the AHP-CV Combined Weight Method: A Case Study of Fuping County, China," Sustainability, MDPI, vol. 10(8), pages 1-15, July.
    4. Haijiao Liu & Yonghong Ma & Qing Liu & Yan Song, 2020. "Decision-Making of Green Space Utilization and Protection in Urban Fringe Based on Biodiversity Trade-Off," Sustainability, MDPI, vol. 12(4), pages 1-22, February.
    5. Hui Ye & Zhaoping Yang & Xiaoliang Xu, 2020. "Ecological Corridors Analysis Based on MSPA and MCR Model—A Case Study of the Tomur World Natural Heritage Region," Sustainability, MDPI, vol. 12(3), pages 1-15, January.
    6. Kunyuan Wanghe & Xinle Guo & Xiaofeng Luan & Kai Li, 2019. "Assessment of Urban Green Space Based on Bio-Energy Landscape Connectivity: A Case Study on Tongzhou District in Beijing, China," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    7. Yangjing Peng & Minghao Meng & Zhihao Huang & Ruifeng Wang & Guofa Cui, 2021. "Landscape Connectivity Analysis and Optimization of Qianjiangyuan National Park, Zhejiang Province, China," Sustainability, MDPI, vol. 13(11), pages 1-21, May.
    8. Zixuan Lian & Xianhui Feng, 2022. "Urban Green Space Pattern in Core Cities of the Greater Bay Area Based on Morphological Spatial Pattern Analysis," Sustainability, MDPI, vol. 14(19), pages 1-15, September.

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